SBIR/STTR Research Award

High-gain Cell-level all-GaN-based DC-DC Resonant Converter System for Grid-tied Energy Storage Systems

Award identifier 9674b525fb8c738e6d57e42f4d48751e8ae870535616bd329f34a0923c6a0080Awarding agency Department of Energy

Award amount

$199,234

Program and phase

SBIR · Phase I

Award year

2023

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
Higher Wire, Inc.
Proposal award date
2023-07-10
Contract end date
2024-04-09
UEI
PCG4RHXBMH84
Solicitation number
Not reported
Topic code
C56-09a

Research abstract

In Phase-I project, we propose to design, control, optimize, develop, and experimentally characterize a system of energy storage-integrated dc-dc power electronic converters that produce well-regulated 360V dc link from 2.5V-4V cell output DC at 2kW rated load. The proposed dc-dc system allows bidirectional power flow, thereby flexibly facilitating cell charging from solar photovoltaic or any other energy source ports as well. In state-of-the-art (SOA) grid-integrated energy storage systems, a large number of series-connected cells form a battery module, which is then fed to a single high-power-rated dc-dc converter to form a fixed DC link for the follow-on inverter stage. In such architectures, failure of a single cell might collapse the entire dc link, resulting in a compromise of the battery-to-grid end-to-end power flow and hence extremely poor structural modularity. To address these issues, the concept of cell-level Power Electronics (cPE) with integrated thermal management is explored to make the architecture more fault-tolerant, robust, smart, and scalable. Addressing the research gaps and technological needs, the specific research problems to be addressed in this project are: (a) development of efficient, compact power conversion topologies for the required ultra-high gain conversion (cell voltage to DC bus voltage), (b) synthesis and development of supervisory level optimal power split control of the cPE units for module-level efficiency maximization, (c) switching and conduction loss minimization in the corner operating conditions with cell voltage depletion and hence an even higher step-up gain requirement, (d) strategies for integration of magnetic components, and (e) thermal management optimization. Enhanced device properties of wide bandgap (WBG) semiconductors (Gallium Nitride, or GaN, in this work) will be leveraged to design a high-frequency efficient power conversion system with reduced passive component footprints. The proposed system is estimated to exhibit a power density of 5W/inch3 and dimensions of (2 in. x 5 in. x 2 in.) and to be 98% efficient at rated load and nominal state-of-charge (SoC) conditions. Specific focus areas of phase-I work include: (a) optimization of high-gain resonant dc-dc converter systems through multivariable modulation-based RMS current minimization and softswitching enhancements, (b) supervisory level optimal power split control of the modular converter system for efficiency maximization, (c) highly efficient active cell balancing mechanism with uniformized SoC, and (d) passive component optimization for power density enhancement through implementation of planar magnetics.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

3 SBIR/STTR records share this UEI (2022–2023). Reported award amounts total $1,408,894. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Energy

Agency intelligence

Department of Energy

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.